The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
K-rasG12V transformation leads to mitochondrial dysfunction and a metabolic switch from oxidative phosphorylation to glycolysis
Open accessAbstract
Increased aerobic glycolysis and oxidative stress are important features of cancer cell metabolism, but the underlying biochemical and molecular mechanisms remain elusive. Using a tetracycline inducible model, we show that activation of K-rasG12V causes mitochondrial dysfunction, leading to decreased respiration, elevated glycolysis, and increased generation of reactive oxygen species. The K-RAS protein is associated with mitochondria, and induces a rapid suppression of respiratory chain complex-I and a decrease in mitochondrial transmembrane potential by affecting the cyclosporin-sensitive permeability transition pore. Furthermore, pre-induction of K-rasG12V expression in vitro to allow metabolic adaptation to high glycolytic metabolism enhances the ability of the transformed cells to form tumor in vivo. Our study suggests that induction of mitochondrial dysfunction is an important mechanism by which K-rasG12V causes metabolic changes and ROS stress in cancer cells, and promotes tumor development.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Understanding the Warburg Effect: The Metabolic Requirements of Cell Proliferation
Vander Heiden, M. G., Cantley, L. C., & Thompson, C. B. (2009) · Science · doi:10.1126/science.1160809 · Cited by 16,197
Trachootham, D., Zhou, Y., Zhang, H., Demizu, Y., Chen, Z., Pelicano, H., Chiao, P. J., Achanta, G., Arlinghaus, R. B., Liu, J., et al. (2006) · Cancer Cell · doi:10.1016/j.ccr.2006.08.009 · Cited by 1,080
Cited by
Energy metabolism of cancer: Glycolysis versus oxidative phosphorylation (Review)
ZHENG, J. (2012) · Oncology Letters · doi:10.3892/ol.2012.928 · Cited by 963
Kamphorst, J. J., Cross, J. R., Fan, J., de Stanchina, E., Mathew, R., White, E. P., Thompson, C. B., & Rabinowitz, J. D. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1307237110 · Cited by 726
Genetics and biology of pancreatic ductal adenocarcinoma
Ying, H., Dey, P., Yao, W., Kimmelman, A. C., Draetta, G. F., Maitra, A., & DePinho, R. A. (2016) · Genes & Development · doi:10.1101/gad.275776.115 · Cited by 527
Hu, K., Li, K., Lv, J., Feng, J., Chen, J., Wu, H., Cheng, F., Jiang, W., Wang, J., Pei, H., et al. (2020) · Journal of Clinical Investigation · doi:10.1172/jci124049 · Cited by 404
Self-citationEnergy metabolism in health and diseases
Liu, H., Wang, S., Wang, J., Guo, X., Song, Y., Fu, K., Gao, Z., Liu, D., He, W., & Yang, L.-L. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02141-x · Cited by 399
Metadata
- Authors
- Hu, Y., Lu, W., Chen, G., Wang, P., Chen, Z., Zhou, Y., Ogasawara, M., Trachootham, D., Feng, L., Pelicano, H., Chiao, P. J., Keating, M. J., Garcia-Manero, G., & Huang, P.
- Venue
- Cell Research
- Published
- 2011-08-30
- Volume
- 22
- Issue
- 2
- Pages
- 399-412
- ISSN
- 1001-0602 (ISSN-L)
- 1748-7838
- OpenAlex
- W2166087647
- Cited by
- 304
- References
- 2
- FWCI
- 5.99
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: K-rasG12V transformation leads to mitochondrial dysfunction and a metabolic switch from oxidative phosphorylation to glycolysis. https://app.cochat.ai/papers/10.1038/cr.2011.145
- The paper
- Hu, Y., Lu, W., Chen, G., Wang, P., Chen, Z., Zhou, Y., Ogasawara, M., Trachootham, D., Feng, L., Pelicano, H., Chiao, P. J., Keating, M. J., Garcia-Manero, G., & Huang, P. (2012). K-rasG12V transformation leads to mitochondrial dysfunction and a metabolic switch from oxidative phosphorylation to glycolysis. Cell Research. https://doi.org/10.1038/cr.2011.145
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.